As the core member of the Auxia Data Science team, you will play a significant role in driving the data science vision/roadmap and also in building and improving our Machine Learning models. You will perform research at the intersection of recommender systems, causal inference, transformers, foundational models (LLMs), and reinforcement learning and develop production-grade models serving decisions to 10s of millions of users per day. You will also be responsible for performing in-depth analysis of customer data and deriving insights to better understand customer problems and collaborate cross-functionally across engineering, product, and business teams.

Responsibilities

• Design, implement, and research machine learning algorithms to solve growth and personalization problems and continuously fine-tune and improve them
• Implement and improve offline model evaluation methods.
• Analyze large business datasets to extract knowledge and communicate insights to critical business questions by leveraging traditional statistical or machine learning methodologies.
• Present and communicate data-based insights and recommendations to product, growth, and data science teams at Auxia's customers.
• Stay updated on ML research through literature reviews, conferences, and networking.
  
  

Requirements

• Advanced Degree in a quantitative field (e. g. Mathematics, Statistics, Computer Science, or other related field).
• 5+ years experience in training improving and deploying ML models, developing production software systems such as data pipelines or dashboards preferably at fast-growing technology companies.
• Proficiency in ML frameworks (TensorFlow/PyTorch/Jax) and the Python data science ecosystem (Numpy, SciPy, Pandas, etc. ).
• Experience in causal inference techniques and experimental design.
• Experience working with Cloud services consuming and managing large-scale data sets.
• Thrives in ambiguity, ownership mindset, and willingness to get your hands dirty outside of the scope of your role (e. g. Product vision, strategic roadmap, engineering, etc).
  
  

This job was posted by Ravi Desu from Auxia.